fence-agents-vmware
Fence Agents for Red Hat Cluster - VMware agent
Red Hat Fence Agents is a collection of scripts to handle remote power
management for several devices. They allow failed or unreachable nodes to be
forcibly restarted and removed from the cluster.
fence-agents-vmware-soap
Fence Agents for Red Hat Cluster - VMware SOAP API agent
Red Hat Fence Agents is a collection of scripts to handle remote power
management for several devices. They allow failed or unreachable nodes to be
forcibly restarted and removed from the cluster.
fence-agents-wti
Fence Agents for Red Hat Cluster - WTI Network Power Switch agent
Red Hat Fence Agents is a collection of scripts to handle remote power
management for several devices. They allow failed or unreachable nodes to be
forcibly restarted and removed from the cluster.
fence-agents-xenapi
Fence Agents for Red Hat Cluster - Citrix XenServer agent
Red Hat Fence Agents is a collection of scripts to handle remote power
management for several devices. They allow failed or unreachable nodes to be
forcibly restarted and removed from the cluster.
python3-onnxruntime
cross-platform inference and training ML accelerator (Python bindings)
ONNX Runtime is a performance-focused complete scoring engine for Open Neural
Network Exchange (ONNX) models, with an open extensible architecture to
continually address the latest developments in AI and Deep Learning. ONNX
Runtime stays up to date with the ONNX standard with complete implementation of
all ONNX operators, and supports all ONNX releases (1.2+) with both future and
backwards compatibility. Please refer to this page for ONNX opset compatibility
details.
python3-amgcl
Solves large sparse linear systems with algebraic multigrid method
AMG is one of the most effective iterative methods for solution of equation
systems arising, for example, from discretizing PDEs on unstructured grids. The
method can be used as a black-box solver for various computational problems,
since it does not require any information about the underlying geometry. AMG is
often used not as a standalone solver but as a preconditioner within an
iterative solver (e.g. Conjugate Gradients, BiCGStab, or GMRES).